cua
Cua is a computer-use agent platform that enables building AI agents to interact with computers by seeing screens, clicking buttons, and typing, leveraging local sandboxes and cloud environments optimized for Apple Silicon and other platforms.
cua is ai agents software teams evaluate for ai agents. Use this page to review pricing, integration signals, and the best alternatives before you commit.
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Quick Overview
Best for: AI Agents
What it does
AI Agents software for decision-makers comparing workflow fit and alternatives.
Best fit
AI Agents
Pricing snapshot
Freemium from Free with 10 credits to start
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cua
Cua is a platform designed to build and run AI-powered computer-use agents that automate workflows by interacting with computer interfaces just like a human would. It supports running agents locally on Apple Silicon using secure local sandboxes as well as scalable cloud sandboxes for Linux and Windows environments. The platform integrates AI models with computer control capabilities, enabling agents to perform tasks such as taking screenshots, controlling applications, and executing complex workflows. Cua is aimed at developers, AI researchers, and enterprises looking to automate computer tasks with AI agents while ensuring security, scalability, and ease of use.
macOS & Linux containers for AI agents on Apple Silicon with near-native performance.
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Local Sandboxes
Run computer-use agents in isolated local environments on Apple Silicon for enhanced security and privacy.
Cloud Sandboxes
Scale effortlessly with cloud-powered Linux and Windows sandboxes, managed infrastructure, and no resource limits.
AI-Gradio Integration
User-friendly AI interaction interface using Gradio for natural and dynamic communication between users and AI systems.
Open Source SDKs
Agent SDK, Computer SDK, macOS virtualization, and Docker images are open source and available on GitHub.
Benchmarking and Reinforcement Learning
Built-in tools to benchmark agent performance, train with reinforcement learning, and optimize workflows.
Multi-Platform Support
Supports macOS, Windows, Linux, and browser environments for versatile agent deployment.
Vision-Language Model (VLM) Inference
Access over 100 vision-language models via a unified API with smart auto-routing for cost and performance balance.
Flexible Pricing and Credits
Pay-as-you-go credit system for compute time and AI inference with no upfront costs or monthly minimums.
Pricing
Free tier includes 10 credits for testing and evaluation with access to Linux small sandbox and community support.
Free
Free with 10 credits to start- Linux small sandbox only
- Community Discord support
- MIT License open source
Pro
Starting at $10+- Flexible credits for cloud compute and AI inference
- Managed cloud environments
- Priority Slack support
Enterprise
Custom monthly pricing- Scalable cloud containers
- 24/7 support
- HIPAA and SOC Type 1/2 compliance reports
Use Cases
Automating Desktop Tasks
Build AI agents that can control applications, take screenshots, and perform repetitive tasks on local or cloud computers.
Enterprise Workforce Automation
Deploy computer-use agents within virtual machines to automate employee workflows securely and at scale.
AI Research and Development
Use Cua's benchmarking and reinforcement learning tools to develop and improve AI agents for computer interaction.
Vision-Language Model Applications
Leverage integrated VLMs to enable agents to understand and interact with visual content on computers.
Integrations
Anthropic Claude Models
Use Claude Sonnet and Haiku models for AI inference within agents.
Docker
Run local sandboxed environments using Docker containers.
Gradio
Provides user-friendly AI interaction interfaces.
Cloud Providers
Cloud sandbox environments for Linux and Windows with scalable compute.
Benefits
Limitations
Frequently Asked Questions
What is a Computer Use Agent and how can it help me?
What models can I use in my computer use agent?
Can Cua.ai automate tasks in any desktop environment?
Is Cua.ai free?
How do I get started with Cua?
Getting Started
- 1 Step 1: Install the Cua Agent SDK via pip or access cloud sandboxes with an API key.
- 2 Step 2: Initialize a Computer instance specifying OS and provider (local Docker or cloud).
- 3 Step 3: Create a ComputerAgent with your chosen AI model and tools, then run tasks using the SDK.
Support
Community Discord
Join the community Discord for support, discussions, and help from the Cua team and users.
Documentation
Comprehensive docs available online to guide installation, usage, and development.
Slack (Pro and Enterprise)
Priority support available via Slack for paid plans.
API
API documentation is available through the Cua docs and GitHub repositories, detailing SDK usage, cloud API integration, and model management.
Rate limits depend on the pricing tier and credit usage; pay-as-you-go credits govern compute and inference capacity.
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